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research-article

EFFECT OF CONDITION MONITORING ON RISK MITIGATION FOR STEAM TURBINES IN THE FOREST PRODUCTS INDUSTRY

[+] Author and Article Information
Bin Zhou

ASME Member Risk, Reliability & Failure Prevention Area FM Global Research 1151 Boston-Providence Turnpike Norwood, MA 02062
bin.zhou@fmglobal.com

Kumar Bhimavarapu

Risk, Reliability & Failure Prevention Area FM Global Research 1151 Boston-Providence Turnpike Norwood, MA 02062
kumar.bhimavarapu@fmglobal.com

1Corresponding author.

ASME doi:10.1115/1.4035704 History: Received January 28, 2016; Revised January 04, 2017

Abstract

Industry has been implementing condition monitoring for turbines to minimize losses and to improve productivity. Deficient conditions can be identified before losses occur by monitoring the equipment parameters. For any loss scenario, the effectiveness of monitoring depends on the stage of the loss scenario when the deficient condition is detected. A scenario-based semi-empirical methodology was developed to assess various types of condition monitoring techniques, by considering their effect on the risk associated with mechanical breakdown of steam turbines in the forest products (FP) industry. A list of typical turbine loss scenarios was first generated by reviewing loss data and leveraging expert domain knowledge. Subsequently, condition monitoring techniques that can mitigate the risk associated with each loss scenario were identified. For each loss scenario, an event tree analysis was used to quantitatively assess the variations in the outcomes due to condition monitoring, and resultant changes in the risk associated with turbine mechanical breakdown. An application was developed following the methodology to evaluate the effect of condition monitoring on turbine risk mitigation.

Copyright (c) 2017 by ASME
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